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Ontology Fixing by Using Software Engineering Technology

Department of Computer Science, University of Vigo, ESEI-Escuela Superior de Ingeniería Informática, Edificio Politécnico, Campus Universitario As Lagoas s/n, 32004 Ourense, Spain
CINBIO-Biomedical Research Centre, University of Vigo, Campus Universitario Lagoas-Marcosende, 36310 Vigo, Spain
SING Research Group, Galicia Sur Health Research Institute (IIS Galicia Sur), SERGAS-UVIGO, 36312 Vigo, Spain
Cyber Technology Institute, School of Computer Science and Informatics, Faculty of Computing, Engineering & Media, De Montfort University, Gateway House, The Gateway, Leicester LE1 9BH, UK
Instituto Universitário de Lisboa (ISCTE-IUL), University Institute of Lisbon, ISTAR-IUL, Av. das Forças Armadas, 1649-026 Lisboa, PT, Portugal
Author to whom correspondence should be addressed.
Appl. Sci. 2020, 10(18), 6328;
Received: 31 July 2020 / Revised: 8 September 2020 / Accepted: 9 September 2020 / Published: 11 September 2020
This paper presents OntologyFixer, a web-based tool that supports a methodology to build, assess, and improve the quality of ontology web language (OWL) ontologies. Using our software, knowledge engineers are able to fix low-quality OWL ontologies (such as those created from natural language documents using ontology learning processes). The fixing process is guided by a set of metrics and fixing mechanisms provided by the tool, and executed primarily through automated changes (inspired by quick fix actions used in the software engineering domain). To evaluate the quality, the tool supports numerical and graphical quality assessments, focusing on ontology content and structure attributes. This tool follows principles, and provides features, typical of scientific software, including user parameter requests, logging, multithreading execution, and experiment repeatability, among others. OntologyFixer architecture takes advantage of model view controller (MVC), strategy, template, and factory design patterns; and decouples graphical user interfaces (GUI) from ontology quality metrics, ontology fixing, and REST (REpresentational State Transfer) API (Application Programming Interface) components (used for pitfall identification, and ontology evaluation). We also separate part of the OntologyFixer functionality into a new package called OntoMetrics, which focuses on the identification of symptoms and the evaluation of the quality of ontologies. Finally, OntologyFixer provides mechanisms to easily develop and integrate new quick fix methods. View Full-Text
Keywords: ontologies; fixing ontologies; quick fix; quality metrics ontologies; fixing ontologies; quick fix; quality metrics
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MDPI and ACS Style

Roldan-Molina, G.R.; Mendez, J.R.; Yevseyeva, I.; Basto-Fernandes, V. Ontology Fixing by Using Software Engineering Technology. Appl. Sci. 2020, 10, 6328.

AMA Style

Roldan-Molina GR, Mendez JR, Yevseyeva I, Basto-Fernandes V. Ontology Fixing by Using Software Engineering Technology. Applied Sciences. 2020; 10(18):6328.

Chicago/Turabian Style

Roldan-Molina, Gabriela R., Jose R. Mendez, Iryna Yevseyeva, and Vitor Basto-Fernandes. 2020. "Ontology Fixing by Using Software Engineering Technology" Applied Sciences 10, no. 18: 6328.

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